Heng Tao is currently a Professor of National "Thousand Talents Plan" and
the director of Center for Future Media at the
University of Electronic Science and
Technology of China (UESTC). He obtained his BSc with 1st class Honours and PhD
from Department of Computer Science, National University of Singapore in 2000 and 2004 respectively. He then joined the University of Queensland
as a Lecturer, Senior Lecturer, Reader, and became a Professor in late 2011.
His research interests mainly include Multimedia Search, Computer Vision,
Artificial Intelligence, and Big Data Management. Heng Tao has
published 100+ top ranked papers in most prestigious
publication venues of interests, such as ACM Multimedia, CVPR, ICCV, AAAI, IJCAI, SIGMOD, VLDB, ICDE,
TOIS, TIP, TPAMI, TKDE, VLDB Journal, etc. He received the
Chris Wallace Award
for outstanding Research Contribution in 2010 conferred by Computing
Research and Education Association, Australasia, and the
Future Fellowship
from Australia Research Council in 2012.
He has served as a PC Co-Chair for ACM Multimedia 2015 and currently
is an Associate Editor of IEEE Transactions on
Knowledge and Data Engineering (TKDE). He is an Honorary Professor at the
University of Queensland, and holds a position of Visiting Professor at Nagoya
University and National University of Singapore.

*UQ_IMH*:
A real-world
dataset
consisting of
millions of
images and text
documents for
inter-media/cross-media
retrieval. It
has been used in
our ACM SIGMOD
2013 paper on
inter-media
hashing (IMH).
Dataset and code.*UQ_VIDEO*:
A real-world
large-scale
video dataset
used for
near-duplicate
retrieval. It
contains about
150,000 web
videos. Queries
and their
goundtruth are
provided for
performance
evaluation.
This
dataset has been
used in our ACM
Multiemdia 2011
paper.
Datasset and code.
*UQLIPS*:
A real-time
near-duplicate
video detection
and retrieval
system. It won the
Highly
Commended Open
Award 2007 by
UniQuest
in recognition
of its
commercial
potential. Part
of the research
results also
received the
Best
Paper Award
in APWeb 2010.